https://cogito.unklab.ac.id/index.php/cogito/issue/feed CogITo Smart Journal 2024-02-25T15:13:05+00:00 COGITO SMART JOURNAL - editorial team editorial.cogito@unklab.ac.id Open Journal Systems <h2><strong>COGITO SMART JOURNAL</strong></h2> <table style="height: 223px;" width="642" bgcolor="#ffffff"> <tbody> <tr valign="top"> <td style="width: 146.517px;"> <p>Publication<br />DOI <br />ISSN Print<br />ISSN Online<br />Editor in Chief<br />Managing Editor<br />Publisher<br />Accreditation<br />Contact</p> </td> <td style="width: 477.483px;"> <p>: June &amp; December (2 issues /year)<br />: <a title="DOI" href="https://search.crossref.org/?q=cogito+smart+journal" target="_blank" rel="noopener">cogito</a> by <img style="width: 10%;" src="https://ijain.org/public/site/images/apranolo/Crossref_Logo_Stacked_RGB_SMALL.png" /><br />: <a title="ISSN Cetak" href="https://portal.issn.org/resource/ISSN/2541-2221" target="_blank" rel="noopener">2541-2221</a> <br />: <a title="ISSN Online" href="https://portal.issn.org/resource/ISSN/2477-8079" target="_blank" rel="noopener">2477-8079</a> <br />: Andrew T. Liem, Ph.D.<br />: Jacquline Waworundeng, S.T.,M.T.<br />: <a title="Fakultas Ilmu Komputer - Universitas Klabat" href="https://www.unklab.ac.id/fakultas-ilmu-komputer/" target="_blank" rel="noopener">Fakultas Ilmu Komputer - Universitas Klabat </a> <br />: <a title="AKREDITASI " href="https://sinta.kemdikbud.go.id/journals/profile/449" target="_blank" rel="noopener">SINTA 2 (S2)</a><br />: editorial.cogito@unklab.ac.id</p> </td> </tr> </tbody> </table> <p style="text-align: justify;">CogITo Smart Journal is a scientific journal in the field of Computer Science published by the Faculty of Computer Science, Klabat University which is a member of CORIS (Cooperation Research Inter University) and IndoCEISS (Indonesian Computer Electronics and Instrumentation Support Society). Cogito Smart Journal is accredited by Sinta 2 (S2) and is indexed in various important indexing institutions, both national and international.</p> <p style="text-align: justify;">CogITo Smart Journal is published twice a year, namely every June and December. CogITo Smart Journal accepts various new and original manuscripts from research results, library reviews, and book references from the field of Computer Science and Informatics which may be written in English.</p> https://cogito.unklab.ac.id/index.php/cogito/article/view/494 LockBit Black Ransomware On Reverse Shell: Analysis of Infection 2023-10-23T13:56:58+00:00 Eliando Eliando eliando@matanauniversity.ac.id Ary Budi Warsito ary@matanauniversity.ac.id <p><em> This research was conducted due to the widespread occurrence of ransomware attacks, especially in Indonesia, against data that is at the endpoint and has even reached the banking sector. to estimate the likelihood of future ransomware infections. LockBit 3 ransomware aka LockBit Black is ransomware that has penetrated one of the banks in Indonesia, along with a reverse shell which is an infection method that cannot be recognized by every protection so that when combined it can penetrate all sides of protection. The method used to research the combination of ransomware and reverse shell is a hybrid analysis with a combination of static and dynamic analysis, to see every capability that can be carried out by the LockBit Black ransomware and channeled through the reverse shell. In this research, we can see the real impact of the attack and estimate protection in the future from the results of this analysis so that variant ransomware attacks from LockBit can be overcome.</em></p> 2023-12-29T00:00:00+00:00 Copyright (c) 2023 CogITo Smart Journal https://cogito.unklab.ac.id/index.php/cogito/article/view/511 Analysis of Classification Algorithm Performance on User Review Sentiment of the Muamalat DIN Application 2023-10-23T14:16:16+00:00 Wiga Maulana Baihaqi wiga@amikompurwokerto.ac.id Ika Romadoni Yunita ikarom@amikompurwokerto.ac.id Aulia Shafira Tri Damayanti auliashafira2801@gmail.com Luthfi Akhaerunnisa khaerunnisaluthfi@gmail.com <p><em>Banking applications have become an integral part of modern society. One such application is Muamalat DIN, launched by Bank Muamalat Indonesia with the aim of facilitating customers in conducting various transactions and activities. User reviews of this application vary widely, ranging from positive to negative comments. The purpose of this study is to evaluate user attitude on reviews of Bank Muamalat Indonesia's digital banking product, the Muamalat DIN application. This research offers insights into the efficacy of the SMOTE balancing technique compared to undersampling by utilizing a methodology that includes data collection via scrapping techniques, data preprocessing, and the application of Multi Layer Perceptron (MLP), XGBoost, and LightGBM classification algorithms. The results show that SMOTE-paired XGBoost works better for sentiment categorization. The study's conclusion emphasizes the significance of choosing the right data balancing method to increase sentiment analysis's accuracy in Islamic banking applications, which can be used as a foundation for strategies aimed at enhancing customer service and making decisions.</em></p> 2023-12-29T00:00:00+00:00 Copyright (c) 2023 CogITo Smart Journal https://cogito.unklab.ac.id/index.php/cogito/article/view/513 Prediksi Jumlah Produksi Perakitan Komponen Menggunakan ANFIS Yang Dioptimasi Dengan Algoritma K-Means 2023-10-23T13:59:25+00:00 Ari Sujiana ari sujianaari@gmail.com Utomo Budiyanto Utomo.budiyanto@budiluhur.ac.id <p><em>In the assembly industry, the number of products produced is very important to meet customer demand, so an appropriate production plan needs to be made. The many influencing factors become obstacles to estimating production results. One prediction method that is widely used in conditions with many influencing factors is the Adaptive Neuro-Fuzzy Inference System (ANFIS). However, the weakness of ANFIS when used on databases with sparse density is that it is difficult to establish fuzzy basic rules. To overcome this, optimization was carried out in this research by grouping the range of membership degree label values in the input and output variables using the K-means algorithm approach before the dataset was input to the network. Based on the Average Forecasting Error Rate (AFER) method, the prediction results of the ANFIS method with K-means optimization have an error percentage of 0.000018%, while the ANFIS prediction results with determining the degree of membership on fuzzy input and output labels are carried out arbitrarily, producing an error percentage of 0.000023%. The results concluded that the use of the K-means algorithm for sparse database grouping to determine the degree of ANFIS membership can be applied and produces a lower error rate than random grouping.</em></p> 2023-12-29T00:00:00+00:00 Copyright (c) 2023 CogITo Smart Journal https://cogito.unklab.ac.id/index.php/cogito/article/view/517 Exploration of the Project Risk Management Framework for Information Technology Companies 2023-10-23T14:11:08+00:00 Isnen Hadi Al Ghozali isnen.hadi@gmail.com Samidi Samidi samidi@budiluhur.ac.id Andy Rio Handoko andy.handoko@budiluhur.ac.id <p><em> Based on CHAOS 2020: Beyond Infinity Overview, reported by the Standish Group, only 31% of IT projects were successfully implemented, while 50% of projects were challenged and 19% of projects failed. Many project managers less awareness about SRM and have a partial understanding of risk. The purpose of this study is to develop a project risk management framework for listing companies in the information technology sector. The sample for this study is 35 annual reports of technology companies listed on IDX. This study identified 122 types of project risks from 33 companies' annual reports. This study uses an exploratory study approach. The proposed framework includes three stages, namely the root cause, risk assessment, and performance stages. At the root cause stage, the identification of risks from elements of the business environment becomes the basis for measuring risk treatment. In the next stage, the identified risk treatment is measured through identify, analysis, and verification activities with the support of communication, documentation, and evaluation. The measurement results are classified into three major dimensions, namely cost, time, and quality. The final stage of the framework is in the form of residual performance risk and a risk mitigation action plan.</em></p> 2023-12-29T00:00:00+00:00 Copyright (c) 2023 CogITo Smart Journal https://cogito.unklab.ac.id/index.php/cogito/article/view/525 Sistem Analisis Sentimen Ulasan Aplikasi Belanja Online Menggunakan Metode Ensemble Learning 2023-10-23T13:53:26+00:00 Debby Erce Sondakh, S.Kom, M.T, Ph.D debby.sondakh@unklab.ac.id Semmy W. Taju semmy@unklab.ac.id Michelle G. Tene s21910323@student.unklab.ac.id Arwin E. T. Pangaila s21910421@student.unklab.ac.id <p><em>There is a growing number and prevalence of online shopping. Online shopping technology allows shoppers to provide post-purchase feedback (comments and reviews) regarding the app itself and other aspects of the product. This feedback can be beneficial to both customers and businesses. However, manually sorting, categorising and reading so many reviews is time-consuming. Sentiment analysis can investigate customer behaviour, opinions, and emotions through text comments/reviews. In this research, a Sentiment Analysis System was developed to help determine the sentiment of each review by displaying attractive visualisations of the analysis results through pie charts, word occurrence frequency, and percentage probability of each sentiment class-positive, neutral, and negative. The Sentiment Analysis System uses an ensemble learning classifier model with SVM, KNN, and Random Forest algorithms. Ensemble learning produces more precise results than a single algorithm. Ensemble learning produces a classifier model with better performance, with accuracy indicators of 81.8% precision 83%, recall 82%, F1-score 82%.</em></p> 2023-12-29T00:00:00+00:00 Copyright (c) 2023 CogITo Smart Journal https://cogito.unklab.ac.id/index.php/cogito/article/view/531 Audit Learning Management System Menggunakan ITIL Domain Service Strategy pada Universitas XYZ 2023-12-22T01:51:23+00:00 Yemima Geasela ygeasela@bundamulia.ac.id Lili Tresha s31200002@student.ubm.ac.id Christian Hendry s31200029@student.ubm.ac.id Johanes Fernandes Andry jandry@bundamulia.ac.id <p><em>Technology has become an important element in increasing the efficiency and effectiveness of organizations, including universities in West Jakarta. IT implementation at the University in the form of a Learning Management System (LMS) helps educational institutions achieve their vision and mission. The ITIL V3 Service Strategy implemented by the University ensures that services can be run optimally according to organizational needs. The university has succeeded in managing IT services in several </em><em>subdomains well, reaching level 4 in average IT service capability, namely Managed and Measurable. However, it is important to continue to improve IT services to provide clear benefits for universities and students. An effective IT service strategy and good LMS management can increase efficiency and effectiveness in work processes, especially with access via a web browser. Universities need to keep up with the latest technological developments to continue to improve IT and LMS services. It can be understood that this provides a learning experience process that is certainly better for the academic community and increases productivity for higher education.</em></p> 2023-12-29T00:00:00+00:00 Copyright (c) 2023 CogITo Smart Journal https://cogito.unklab.ac.id/index.php/cogito/article/view/566 Builder’s Searching and Recommendations System using Mobile-Based Application and GPS 2023-12-14T02:58:09+00:00 Marchel Thimoty Tombeng marcheltombeng@unklab.ac.id Semmy Taju semmy@unklab.ac.id Ferrell Sanger s21810017@student.unklab.ac.id Reynaldo Daingah s11810219@student.unklab.ac.id <p><em>In the current digital era, information technology-based applications are rapidly evolving and becoming increasingly essential in everyday life. One type of application that is gaining popularity among the public is recommendation applications, especially those for finding handyworkers. Airmadidi is one of the cities in Indonesia with many boarding houses offering various facilities and prices. However, for newcomers seeking handyworkers in the city, finding the right one for their needs can be a challenging and exhausting task. Therefore, there is a need for a recommendation and handyworker search application system that can assist seekers in addressing issues in their boarding houses or homes according to their specific requirements. This application system will gather information about available handyworkers in Airmadidi and provide recommendations based on users' preferences and needs.The aim of this research is to design a recommendation and handyworker search application in Airmadidi using an appropriate software development method supported by the latest technology. This application system is expected to help users easily and efficiently find handyworkers that match their needs. The research methodology employed in this writing includes interviews, literature reviews, and system design using the SDLC (Software Development Life Cycle) method with a spiral model. The stages of the spiral model With the existence of this recommendation and handyworker search application system, searching &nbsp;for handyworkers in Airmadidi is expected to become easier, more efficient, and effective for seekers. Additionally, this research can serve as a reference for similar studies in other areas.</em></p> 2023-12-29T00:00:00+00:00 Copyright (c) 2023 CogITo Smart Journal https://cogito.unklab.ac.id/index.php/cogito/article/view/492 Pemilihan Marketplace Terbaik Dengan Metode Simple Additive Weighting (SAW) Studi Kasus: Kota Curup, Rejang Lebong, Bengkulu 2023-10-23T13:50:22+00:00 Rizki Eka Wahyuni rizkiekawahyuni26@gmail.com Ana Kurniawati ana@staff.gunadarma.ac.id <p><em>Pada era marketplace yang sedang berkembang pesat saat ini, sangat memudahkan masyarakat untuk berbelanja kebutuhan sehari-hari dan tidak perlu repot untuk pergi berbelanja keluar rumah, ke pasar maupun ke mal. Dengan banyaknya pilihan aplikasi marketplace yang beredar di Indonesia tentu saja membuat para pengguna memiliki banyak pilihan untuk berbelanja pada marketplace sesuai dengan kebutuhan masing-masing pengguna. Penelitian ini bertujuan untuk memudahkan para pengguna marketplace atau para konsumen untuk menentukan marketplace terbaik yang akan mereka gunakan berdasarkan kriteria-kriteria yang telah ditentukan untuk memilih salah satu marketplace terbaik pada Kota Curup, Kabupaten Rejang Lebong, Bengkulu. Dari hasil perhitungan dengan menggunakan metode SAW diperoleh bahwa marketplace Tokopedia (A1) mendapat rangking pertama dengan nilai tertinggi yaitu sebesar 0,97, nilai tertinggi kedua atau ranking kedua diperoleh oleh marketplace Blibli (A5) dengan nilai sebesar 0,92, nilai tertinggi ketiga atau ranking ketiga diperoleh oleh marketplace Shopee (A2) dengan nilai sebesar 0,91, nilai tertinggi keempat atau ranking keempat diperoleh oleh marketplace Bukalapak (A4) dengan nilai sebesar 0,90, dan nilai terendah atau ranking terakhir diperoleh oleh marketplace Lazada (A3) dengan nilai 0,86.</em></p> 2023-12-29T00:00:00+00:00 Copyright (c) 2024 CogITo Smart Journal https://cogito.unklab.ac.id/index.php/cogito/article/view/571 Manajemen Pembatasan Kehadiran Beribadah di Gedung Gereja Berbasis Regulasi Pemerintah 2023-12-14T03:21:45+00:00 Reynoldus Andrias Sahulata rey_sahulata@unklab.ac.id Oktoverano Lengkong oktoverano@unklab.ac.id Jacquline Waworundeng jacquline.morlav@unklab.ac.id <p><em>Indonesia adalah negara yang telah menyatakan bebas dari pandemi COVID- 19 berdasarkan Keppres Nomor 17 Tahun 2023 tentang Penetapan Berakhirnya Status Pandemi Corona Virus Disease 2019 (COVID-19) di Indonesia, tertanggal 21 Juni 2023, dan menyatakan COVID-19 menjadi penyakit endemi di Indonesia. Hal ini terlihat dalam beberapa hari belakangan ini COVID-19 RI berfluktuasi kenaikannya terlihat di beberapa tempat di Indonesia dan tidak bersifat masif, namun tidak boleh lengah untuk mengatasi pencegahan penularannya dan bentuk pencegahan penularan adalah dengan menerapkan seperti pada masa pandemi, yaitu dengan melakukan pembatasan dalam melakukan kegiatan sosial tatap muka langsung. Berdasarkan status yang dikeluarkan oleh pemerintah dari penyakit pandemi ke penyakit endemi, maka pembatasan pertemuan tatap muka dalam suatu kegiatan masyarakat menjadi cara mengatasi penyebaran varian Covid-19 RI. Penelitian ini mengatur pembatasan pertemuan peribadatan secara tatap muka bersama di dalam gedung ibadah, yang disesuaikan dengan ketentuan yang diberlakukan pemerintah pusat atau daerah dan dapat mengatur semua pertemuan peribadatan tatap muka, sehingga dapat mengendalikan semua pertemuan tatap muka sesuai dengan ketentuan pemerintah dan peribadahan dapat berlangsung dengan baik.</em></p> 2023-12-29T00:00:00+00:00 Copyright (c) 2024 CogITo Smart Journal https://cogito.unklab.ac.id/index.php/cogito/article/view/547 Comparative Analysis of The Performance of The Apriori, FP-Growth and Eclat Algorithms in Finding Frequency Patterns In The INA-CBG's Dataset 2023-12-06T07:01:50+00:00 Eka Wahyu Pujiharto eka.wahyu.pujiharto@gmail.com Kusrini Kusrini kusrini@amikom.ac.id Asro Nasiri asro@amikom.ac.id <p><em> Every health facility such as hospitals, clinics and community health centers that collaborate with BPJS is required to make funding claims for health care for patients using INACBG's (Indonesian - Case Based Groups) rates. INACBG's tariff is a service package that is based on disease diagnosis groupings using ICD-10 codes. This research aims to find frequency patterns in the INA-CBG's dataset, especially combinations of diagnoses, in order to find out what combinations of diagnoses frequently appear for further evaluation by health facility management. This research compares the performance of the Apriori, FP-Growth and Eclat algorithms. The accuracy values of the Lift Ratio and Rule Association of the three algorithms obtained the same value, but the computing time and memory usage of the Eclat Algorithm is more than the Apriori and Fp-Growth Algorithms, so it can be concluded that the FP-Growth and Apriori Algorithms are more suitable to be used as solutions in found frequency patterns in INACBG's dataset.</em></p> 2023-12-29T00:00:00+00:00 Copyright (c) 2024 CogITo Smart Journal https://cogito.unklab.ac.id/index.php/cogito/article/view/577 Information Technology Governance Using the COBIT 2019 Framework at PT. Pelindo TPK Bitung 2023-12-27T14:06:29+00:00 George Morris William Tangka gtangka@unklab.ac.id Erienika Lompoliu erienika.lompoliu@unklab.ac.id <p> <em>The governance of information technology (IT) is crucial for companies in managing their IT assets. This research investigates the implementation of COBIT 2019 at PT. Pelindo TPK Bitung, a logistics and storage company, aiming to enhance its Information Technology (IT) governance. Facing challenges in IT management, the company adopted COBIT 2019 to improve operational efficiency, reduce security risks, and ensure regulatory compliance. The study employs a structured approach, utilizing the COBIT 2019 Design Toolkit, and includes a literature review, interviews, and systematic evaluations of PT. Pelindo TPK Bitung's IT governance. Findings from the first interview highlight the company's focus on growth, innovation, and strategic IT roles, alongside challenges in integrating IT and operations. The prioritized governance objective, DSS05 - Managed Security Services, achieves a capability level 3, indicating substantial success, though gaps in security aspects necessitate prompt policy reviews. In conclusion, PT. Pelindo TPK Bitung's COBIT 2019 implementation has achieved significant success, reaching a capability level 3, with suggestions provided for sustaining and enhancing security management. This research contributes insights into COBIT 2019 implementation, offering a comprehensive understanding of its impact on IT governance in a specific organizational context</em></p> 2023-12-29T00:00:00+00:00 Copyright (c) 2024 CogITo Smart Journal https://cogito.unklab.ac.id/index.php/cogito/article/view/521 Desain dan Implementasi Sistem Monitoring Pemakaian Daya Listrik Bagi Pelanggan Rumah Tangga Berbasis IoT 2023-12-27T14:03:12+00:00 Amirah Amirah amirah@undipa.ac.id Salman Salman salman@undipa.ac.id Zainal Abidin abidinznn@gmail.com <p><em>Listrik menjadi kebutuhan utama dalam kehidupan manusia. Masyarakat seharusnya lebih bijak dalam menggunakan energi listrik karena terkadang tanpa disadari penggunaan energi listrik tidak terkontrol sehingga menimbulkan pemakaian energi listrik cukup banyak dan berpengaruh pada melonjaknya biaya listrik setiap bulan. Selama ini, penggunaan daya listrik hanya dapat diketahui melalui kWh meter, namun kWh meter tidak mampu memberikan informasi tentang seberapa besar daya listrik yang digunakan secara langsung. Untuk mengatasi masalah ini, diperlukan suatu aplikasi berbasis IoT yang dapat memberikan informasi penggunaan daya listrik secara real-time. Penelitian ini bertujuan membuat aplikasi untuk memantau penggunaan daya listrik dirumah secara real-time. Pengendalian ini dilakukan menggunakan mikrokontroler ESP8266 sebagai chip yang mendukung konektivitas internet melalui Wifi. Menggunakan sensor arus (ACS712) dan sensor tegangan (ZMPT101B) serta teknologi Internet of Things (IoT) melalui platform Blynk. Dengan aplikasi ini, pengguna dapat mengatur pemakaian energi listrik sesuai kebutuhan. Pengujian perangkat keras digunakan untuk menghitung nilai daya listrik dan biaya yang terpakai setiap perangkat elektronik. Sample yang diuji menggunakan alat yang dibangun adalah setrika, kipas angin dan adaptor handphone kemudian membandingkannya dengan hasil perhitungan rumus secara teoritis maka diperoleh selisih sebesar 0,0135 sehingga dapat disimpulkan bahwa tingkat akurasi alat sebesar 99 % dapat digunakan untuk memonitoring pemakaian daya listrik dalam rumah tangga.</em></p> 2023-12-29T00:00:00+00:00 Copyright (c) 2024 CogITo Smart Journal https://cogito.unklab.ac.id/index.php/cogito/article/view/499 IntelliMart: Teknologi Drone dan Robotic dalam Sistem Pasar Modern 2023-07-07T08:21:15+00:00 Stenly Richard Pungus, S.Kom, M.T, M.M stenly.pungus@unklab.ac.id Renaldy Richard Lawongan s2200053@student.unklab.ac.id Reyvan Sabbathinno Solis s2200334@student.unklab.ac.id Anggreiny Claudia s2200048@student.unklab.ac.id Debby Erce Sondakh debby.sondakh@unklab.ac.id Edson Yahuda Putra eyahuda@unklab.ac.id <p><em>Penelitian ini melakukan kajian integrasi teknologi drone dan robotik dalam modernisasi sistem pasar tradisional. Pasar tradisional, yang ditandai dengan lingkungan yang tidak bersih, kepadatan, area penjualan yang tidak teratur, dan transaksi yang kebanyakan masih berbasis tunai, menghadapi banyak tantangan. Isu-isu ini tidak hanya mengurangi kenyamanan pelanggan, tetapi juga menimbulkan risiko seperti pencurian dan penyebaran penyakit. Kemunculan teknologi seperti drone, robotik, dan pembayaran online muncul sebagai solusi potensial untuk tantangan-tantangan ini. Studi ini mengkaji transformasi sistem transaksi di pasar tradisional dengan kemunculan teknologi pembayaran non-tunai, termasuk kode QR dan dompet digital. Selanjutnya, tren meningkatnya sistem e-commerce di berbagai negara, yang memungkinkan pelanggan memesan barang dan jasa secara online untuk pengiriman ke rumah, menandai pergeseran ke sistem pasar yang lebih maju secara teknologi. Penekanan signifikan ditempatkan pada penggunaan Unmanned Aerial Vehicles (UAV), khususnya drone, yang telah populer di berbagai industri, termasuk sistem pasar. Drone menawarkan layanan pengiriman yang efisien dan cepat, terutama di area yang sulit diakses oleh metode transportasi konvensional. Demikian juga, implementasi robotik dalam manajemen inventaris dapat merevolusi operasi pasar modern, menyediakan manajemen inventaris yang kontinu, bebas kesalahan, dan efisien. Pendekatan ini menjanjikan peningkatan efisiensi dan fungsi sistem pasar tradisional, memanfaatkan teknologi canggih untuk mengatasi tantangan operasional yang telah lama ada.</em></p> 2023-12-29T00:00:00+00:00 Copyright (c) 2024 CogITo Smart Journal https://cogito.unklab.ac.id/index.php/cogito/article/view/585 Perancangan UI/UX Untuk Aplikasi Kedai Online Menggunakan Metode Design Thinking 2024-02-25T15:13:05+00:00 Rinny Rantung rinnyrantung@unklab.ac.id Joe Yuan Mambu jmambu@gmail.com <p><em>Penelitian ini bertujuan untuk merancang desain antarmuka pengguna (UI/UX) pada aplikasi mobile sebuah kedai makanan dan minuman yang menyediakan program loyalitas bagi pengguna dan penjual. Metode penelitian yang digunakan adalah Design Thinking, dengan lima tahapan yang terinci: empatize, define, ideate, prototype, dan test. Hasilnya adalah aplikasi dengan UI/UX yang memfasilitasi UMKM dalam meningkatkan retensi pelanggan dan mempermudah pembeli dalam memesan. Testing task scenario memberikan hasil usability score 81, menunjukkan tingkat usability yang baik. Implikasi praktisnya adalah aplikasi ini dapat menjadi solusi inovatif sesuai kebutuhan dan harapan pengguna, serta membantu UMKM dalam mengembangkan bisnis mereka. Penelitian ini membuktikan bahwa penerapan Design Thinking dalam pengembangan aplikasi mobile untuk UMKM menghasilkan desain yang berfokus pada pengguna dan solusi inovatif. Hal ini menunjukkan kontribusi penelitian ini terhadap pengembangan aplikasi yang sesuai dengan kebutuhan pasar dan membantu UMKM dalam bersaing di era digital.</em></p> 2023-12-29T00:00:00+00:00 Copyright (c) 2024 CogITo Smart Journal https://cogito.unklab.ac.id/index.php/cogito/article/view/542 Design Prototype Detector of Temperature, Humidity, and Air Quality using Sensors, Microcontrollers, Solar Cells, and IoT 2024-02-25T15:01:06+00:00 Jacquline Waworundeng jacquline.morlav@unklab.ac.id <p><em>Environment monitoring refers to the process, tools, and techniques to observe the quality of the environment. This research discussed the prototype detector of temperature, humidity, and air quality in a scope of hardware design. The components consist of sensors, and microcontrollers with electricity and solar cells as power supplies. The sensors used a DHT22 as the temperature and humidity sensor module and the MQ135 air quality sensor module which are connected to two types of microcontrollers, namely Arduino Uno R3 and Wemos ESP32 for data processing. The prototype has a Wi-Fi modem that can provide a connection to the internet. This prototype can be used as a tool to detect and monitor the environmental changes related to temperature, humidity, and air quality whether indoors or outdoors. The prototype is designed to be integrated with IoT platforms so that data can be sent to the smartphones and then viewed by the users. With the support of the IoT platform, the value of temperature, humidity, and air quality can be monitored easily in a real-time. This design of prototype, potentially be implemented indoors or outdoors to observe the changes in the environment.</em></p> 2023-12-29T00:00:00+00:00 Copyright (c) 2024 CogITo Smart Journal